基于遗传算法的SVD和DWT优化彩色图像水印技术

J. Panda, Akshay Uppal, Akhil S. Nair, Bhavesh Agrawal
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引用次数: 7

摘要

提出了一种基于遗传算法的优化DWT-SVD水印技术。通过加入水印图像的奇异分量和适当的比例因子,对原始图像的奇异值分量进行修正。该比例因子通过遗传算法以PSNR值作为适应度标准进行优化,从而在不影响水印透明度的情况下实现高值或鲁棒性。进一步的基于应用的分析是通过使用噪声相关作为适应度函数来测试鲁棒性的更好结果。
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Genetic Algorithm Based Optimized Color Image Watermarking Technique Using SVD and DWT
This paper presents a new optimized DWT-SVD based watermarking technique using Genetic Algorithm. The singular value component of the original Image is modified by adding the singular component of the watermark image along with a suitable scaling factor. This scaling factor is optimized by GA using the PSNR values as the fitness criteria in order to achieve high values or robustness without compromising the transparency of the watermark. Further application based analysis is done by using the Noise Correlation as a fitness function to test for better results in robustness.
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